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Zadely AI Browser Games

List trending AI browser games

list_trending
Read-onlyIdempotent

List AI-made browser games Zadely currently marks as trending, most in demand first. Classic ports are omitted even when the public trending page includes them. Each result includes pageUrl, playUrl, credited AI tools, and engine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many games to return. Omit for the full list. Maximum 50.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the safety profile (readOnlyHint, idempotentHint, non-destructive), so the description's job is to add context — and it does: result ordering, deliberate omission of classic ports versus the public trending page, and the shape of each result. It stops short of describing pagination or the exact size of the list, which is what keeps it from a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the purpose and ordering, then the exclusion caveat, then the result fields. No filler and nothing buried.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no return-value documentation elsewhere, the description carries the burden and does well by naming the fields returned (pageUrl, playUrl, credited AI tools, engine). The main remaining gap is the size/scope of a default (unlimited) response, which an agent might want before calling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single parameter at 100% schema description coverage, including the max of 50 and the 'omit for full list' default, so the schema fully documents it. The description adds nothing about `limit`, which is the expected baseline when the schema does the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb (list), a precise resource (AI-made browser games Zadely marks as trending), and a defined scope and ordering ('most in demand first'). It is easy to separate from siblings like list_jam_winners and search_games, which cover different result sets.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: an agent infers this is the browse-the-trending-feed tool. The exclusion of classic ports is helpful scope clarification, but the description never contrasts itself with search_games or random_game, so the agent gets no explicit routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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